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Implementing Backprojection at Base Station for Precise Localization in Indoor Environment
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.ORCID iD: 0000-0003-3945-8951
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.ORCID iD: 0000-0002-3928-6064
University of Duisburg-Essen, Germany.
Swedish Defense Research Agency, Linköping, Sweden.
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2023 (English)In: Proceedings - 2023 RIVF International Conference on Computing and Communication Technologies, RIVF 2023 / [ed] Bao V.N.Q., Chau L.H, Institute of Electrical and Electronics Engineers (IEEE), 2023, p. 212-217Conference paper, Published paper (Refereed)
Abstract [en]

Mobile equipment with an integrated radar system allows active localization by realizing monostatic, bistatic, multistatic and passive SAR. For mobile user localization, it is also possible by implementing backprojection at base station. In the paper, an approach for precise mobile user localization by implementing backprojection at base station is proposed. The simulation shows the feasibility of the proposal. Some technical issues such as accuracy and backprojection ambiguity, are also addressed. The practicality of the proposal is also demonstrated with a practical frequency-modulated continuous wave (FMCW) radar system and a monostatic radar measurement based on the system. © 2023 IEEE.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2023. p. 212-217
Keywords [en]
6G, backprojection, FMCW radar, localization, Continuous wave radar, Frequency modulation, Indoor positioning systems, Multistatic radars, Radar measurement, Synthetic aperture radar, Active localizations, Backprojections, Bistatic, Frequency-modulated-continuous-wave radars, Indoor environment, Localisation, Mobile equipments, Mobile user localization, Monostatic, Base stations
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-26128DOI: 10.1109/RIVF60135.2023.10471864Scopus ID: 2-s2.0-85190131189ISBN: 9798350315844 (print)OAI: oai:DiVA.org:bth-26128DiVA, id: diva2:1853681
Conference
2023 RIVF International Conference on Computing and Communication Technologies, RIVF 2023, Hanoi, 23 December through 25 December 2023
Available from: 2024-04-23 Created: 2024-04-23 Last updated: 2024-04-30Bibliographically approved

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Vu, Viet ThuyIvanenko, YevhenPettersson, Mats

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